In [1]:
import plotly.offline as pyo

from plotly.graph_objs import *

import chart_studio.plotly as py

import pandas as pd
from pandas import DataFrame
In [2]:
pyo.offline.init_notebook_mode()
In [5]:
ethPie = py.get_figure("rmuir", 263)
pyo.iplot(ethPie)
In [10]:
ethPie['data'][0].update({'marker' : {'colors' : ["rgb(12,192,170)", 
                                                  "rgb(190,252,250)", 
                                                  "rgb(77,194,84)", 
                                                  "rgb(211,238,128)", 
                                                  "rgb(97,167,193)"]}})
ethPie['data'][0]['marker'].update({'line' : {'color' : '#333', 'width' : 1}})
pyo.iplot(ethPie)
In [11]:
ethPie['data'][0].update({'pull' : 1})
pyo.iplot(ethPie)
In [12]:
ethPie['data'][0].update({'pull' : 0.1})
pyo.iplot(ethPie)
In [13]:
ethPie['data'][0].update({'pull' : [0, 0, 0.2, 0, 0]})
pyo.iplot(ethPie)
In [14]:
ethPie['data'][0]
Out[14]:
Pie({
    'direction': 'clockwise',
    'labels': [White, Other, Not known, Black, Asian],
    'marker': {'colors': [rgb(12,192,170), rgb(190,252,250), rgb(77,194,84),
                          rgb(211,238,128), rgb(97,167,193)],
               'line': {'color': '#333', 'width': 1}},
    'pull': [0, 0, 0.2, 0, 0],
    'sort': True,
    'values': [1418685.0, 84525.0, 33290.0, 117460.0, 175240.0]
})
In [15]:
labelValues = dict(zip(ethPie['data'][0]['labels'], ethPie['data'][0]['values']))
labelValues
Out[15]:
{'White': 1418685.0,
 'Other': 84525.0,
 'Not known': 33290.0,
 'Black': 117460.0,
 'Asian': 175240.0}
In [16]:
newLabels = []
newValues = []
for w in sorted(labelValues, key=labelValues.get, reverse=True):
    label = w
    value = labelValues[w]
    
    newLabels.append(label)
    newValues.append(value)
    
newLabels, newValues
Out[16]:
(['White', 'Asian', 'Black', 'Other', 'Not known'],
 [1418685.0, 175240.0, 117460.0, 84525.0, 33290.0])
In [17]:
ethPie['data'][0]['labels'] = newLabels
ethPie['data'][0]['values'] = newValues

pyo.iplot(ethPie)
In [18]:
ethPie['data'][0].update({'pull' : [0,0,0,0,0.5]})
pyo.iplot(ethPie)
In [ ]: